What are the hardware requirements for GPT Neo 1.3B Dutch?

GPT Neo 1.3B Dutch requires approximately 5.4 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GPT Neo 1.3B Dutch and how large is it?

GPT Neo 1.3B Dutch is developed by yhavinga, a model with 1.3b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate GPT Neo 1.3B Dutch?

GPT Neo 1.3B Dutch is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GPT Neo 1.3B Dutch by yhavinga — VRAM 5.4GB, 2K context

Name: GPT Neo 1.3B Dutch
Author: yhavinga

GPT Neo 1.3B Dutch is an open-source language model by yhavinga. Features: 1.3b LLM, VRAM: 5.4GB, Context: 2K, LLM Explorer Score: 0.

Dataset:yhavinga/mc4 nl cleane... Endpoints compatible Gpt-neo Gpt-neo-1.3b Gpt neo Jax Nl Pytorch Region:us Safetensors Tensorboard

Model Card on HF 🤗: https://huggingface.co/yhavinga/gpt-neo-1.3B-dutch

GPT Neo 1.3B Dutch Parameters and Internals

Model Type

text generation

Additional Notes

This project was supported by Google TPU Research Cloud and utilized HuggingFace tools extensively.

Supported Languages

Dutch (native)

Training Details

Data Sources:

cleaned Dutch mC4

Data Volume:

33B tokens

Methodology:

Trained from scratch for Dutch

Context Length:

512

Training Time:

7 days 11 hours

Hardware Used:

Google TPU through TPU Research Cloud

Model Architecture:

GPT-Neo, similar to GPT-3 but open-source

Input Output

Input Format:

Text

Accepted Modalities:

text

Output Format:

Generated text

Release Notes

Version:

1.3B

Notes:

Initial release of the Dutch GPT-Neo model with 1.3 billion parameters.

LLM Name	GPT Neo 1.3B Dutch
Repository 🤗	https://huggingface.co/yhavinga/gpt-neo-1.3B-dutch
Model Size	1.3b
Required VRAM	5.4 GB
Updated	2026-08-06
Maintainer	yhavinga
Model Type	gpt_neo
Model Files	5.4 GB 5.4 GB
Supported Languages	nl
Model Architecture	GPTNeoForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.13.0
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	50257
Torch Data Type	float32
Activation Function	gelu_new

Rank the GPT Neo 1.3B Dutch capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to GPT Neo 1.3B Dutch

Best Alternatives	Context / RAM	Downloads	Likes
GPT NEO 1.3B Wiki	2K / 5.3 GB	13	1
...ni Neo 1.3B Mental Health Lora	2K / 1.6 GB	82	2
GPT Neo 1.3B Lama	2K / 5.3 GB	6	0
GPT Neo 1.3B Alpaca	2K / 5.3 GB	5	0
GPT Neo 1.3B	2K / 5.3 GB	47067	325
Adonalsium GPT Neo 1.3B	2K / 0 GB	1	1
GPT Neo 1.3B Cs Finetuning	2K / 0.5 GB	5	0
GPT NeoX 1.3B Viet Long 70	2K / 5.3 GB	7	0
...oX 1.3B Viet Custom 30 General	2K / 5.3 GB	5	0
GPT NeoX 1.3B Viet Custom 30	2K / 5.3 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than yhavinga/gpt-neo-1.3B-dutch.